Bank M&A Efficiency under the Condition of Economic Globalization. - Ruibo Liu; Ran Ma (BIFE, 2009)

Reconstructing Human Joint Motion with Computational Fabrics. - Ruibo Liu; Qijia Shao; Siqi Wang; Christina Ru; Devin J. Balkcom; Xia Zhou (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. - Lili Wang; Chongyang Gao; Jason Wei; Weicheng Ma; Ruibo Liu; Soroush Vosoughi (W-NUT@EMNLP, 2020)

Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. - Ruibo Liu; Guangxuan Xu; Chenyan Jia; Weicheng Ma; Lili Wang; Soroush Vosoughi (EMNLP (1), 2020)

Multi-resolution Annotations for Emoji Prediction. - Weicheng Ma; Ruibo Liu; Lili Wang; Soroush Vosoughi (EMNLP (1), 2020)

Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks. - Lili Wang; Ruibo Liu; Soroush Vosoughi (ICMR, 2020)

Emoji Prediction: Extensions and Benchmarking. - Weicheng Ma; Ruibo Liu; Lili Wang; Soroush Vosoughi (CoRR, 2020)

Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding. - Weicheng Ma; Ruibo Liu; Lili Wang; Soroush Vosoughi (CoRR, 2020)

Enhanced Offensive Language Detection Through Data Augmentation. - Ruibo Liu; Guangxuan Xu; Soroush Vosoughi (CoRR, 2020)

Improvements and Extensions on Metaphor Detection. - Weicheng Ma; Ruibo Liu; Lili Wang; Soroush Vosoughi (CoRR, 2020)

Mitigating Political Bias in Language Models through Reinforced Calibration. - Ruibo Liu; Chenyan Jia; Jason Wei; Guangxuan Xu; Lili Wang; Soroush Vosoughi (AAAI, 2021)

Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. - Lili Wang; Chongyang Gao; Chenghan Huang; Ruibo Liu; Weicheng Ma; Soroush Vosoughi (AAAI, 2021)

Modulating Language Models with Emotions. - Ruibo Liu; Jason Wei; Chenyan Jia; Soroush Vosoughi (ACL/IJCNLP (Findings), 2021)

Language Model Augmented Relevance Score. - Ruibo Liu; Jason Wei; Soroush Vosoughi (ACL/IJCNLP (1), 2021)

Political Depolarization of News Articles Using Attribute-Aware Word Embeddings. - Ruibo Liu; Lili Wang; Chenyan Jia; Soroush Vosoughi (ICWSM, 2021)

Hyperbolic node embedding for temporal networks. - Lili Wang; Chenghan Huang; Weicheng Ma; Ruibo Liu; Soroush Vosoughi (Data Min. Knowl. Discov., 2021)

A Transformer-based Framework for Neutralizing and Reversing the Political Polarity of News Articles. - Ruibo Liu; Chenyan Jia; Soroush Vosoughi (Proc. ACM Hum. Comput. Interact., 2021)

EnDex: Evaluation of Dialogue Engagingness at Scale. - Guangxuan Xu; Ruibo Liu; Fabrice Harel-Canada; Nischal Reddy Chandra; Nanyun Peng 001 (EMNLP (Findings), 2022)

Non-Parallel Text Style Transfer with Self-Parallel Supervision. - Ruibo Liu; Chongyang Gao; Chenyan Jia; Guangxuan Xu; Soroush Vosoughi (ICLR, 2022)

Knowledge Infused Decoding. - Ruibo Liu; Guoqing Zheng; Shashank Gupta; Radhika Gaonkar; Chongyang Gao; Soroush Vosoughi; Milad Shokouhi; Ahmed Hassan Awadallah (ICLR, 2022)

Aligning Generative Language Models with Human Values. - Ruibo Liu; Ge Zhang; Xinyu Feng; Soroush Vosoughi (NAACL-HLT (Findings), 2022)

Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits. - Ruibo Liu; Chenyan Jia; Ge Zhang; Ziyu Zhuang; Tony X. Liu; Soroush Vosoughi (NeurIPS, 2022)

Quantifying and alleviating political bias in language models. - Ruibo Liu; Chenyan Jia; Jason Wei; Guangxuan Xu; Soroush Vosoughi (Artif. Intell., 2022)

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Chenghua Lin; Xingran Chen; Anton Ragni; Hanzhi Yin; Zhijie Hu; Haoyu He; Emmanouil Benetos; Norbert Gyenge; et al. (CoRR, 2022)

Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks. - Lili Wang; Chenghan Huang; Ying Lu; Weicheng Ma; Ruibo Liu; Soroush Vosoughi (ACM Trans. Inf. Syst., 2022)

Correlated Multi-Level Speech Enhancement for Robust Real-World ASR Applications Using Mask-Waveform-Feature Optimization. - Hang Chen 001; Jun Du 002; Zhe Wang; Chenxi Wang; Yuling Ren; Qinglong Li; Ruibo Liu; Chin-Hui Lee 001 (APSIPA ASC, 2023)

Mind's Eye: Grounded Language Model Reasoning through Simulation. - Ruibo Liu; Jason Wei; Shixiang Shane Gu; Te-Yen Wu; Soroush Vosoughi; Claire Cui; Denny Zhou; Andrew M. Dai (ICLR, 2023)

On the Effectiveness of Speech Self-Supervised Learning for Music. - Yinghao Ma; Ruibin Yuan; Yizhi Li; Ge Zhang 009; Chenghua Lin; Xingran Chen; Anton Ragni; Hanzhi Yin; Emmanouil Benetos; Norbert Gyenge; Ruibo Liu; Gus Xia; et al. (ISMIR, 2023)

MARBLE: Music Audio Representation Benchmark for Universal Evaluation. - Ruibin Yuan; Yinghao Ma; Yizhi Li; Ge Zhang 009; Xingran Chen; Hanzhi Yin; Le Zhuo; Yiqi Liu; Jiawen Huang; Zeyue Tian; Binyue Deng; Ningzhi Wang; et al. (NeurIPS, 2023)

Chinese Open Instruction Generalist: A Preliminary Release. - Ge Zhang 009; Yemin Shi 001; Ruibo Liu; Ruibin Yuan; Yizhi Li; Siwei Dong; Yu Shu; Zhaoqun Li; Zekun Wang; Chenghua Lin; Wenhao Huang 001; Jie Fu 001 (CoRR, 2023)

Interactive Natural Language Processing. - Zekun Wang; Ge Zhang 009; Kexin Yang 002; Ning Shi; Wangchunshu Zhou; Shaochun Hao; Guangzheng Xiong; Yizhi Li; Mong Yuan Sim; Xiuying Chen; Qingqing Zhu; Zhenzhu Yang; et al. (CoRR, 2023)

Training Socially Aligned Language Models in Simulated Human Society. - Ruibo Liu; Ruixin Yang; Chenyan Jia; Ge Zhang; Denny Zhou; Andrew M. Dai; Diyi Yang; Soroush Vosoughi (CoRR, 2023)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; Ruibo Liu; et al. (CoRR, 2023)

Knolling bot: A Transformer-based Approach to Organizing a Messy Table. - Yuhang Hu; Zhizhuo Zhang; Ruibo Liu; Philippe M. Wyder; Hod Lipson (CoRR, 2023)

Align on the Fly: Adapting Chatbot Behavior to Established Norms. - Chunpu Xu; Steffi Chern; Ethan Chern; Ge Zhang 009; Zekun Wang; Ruibo Liu; Jing Li; Jie Fu 001; Pengfei Liu 003 (CoRR, 2023)

ChatMusician: Understanding and Generating Music Intrinsically with LLM. - Ruibin Yuan; Hanfeng Lin; Yi Wang 033; Zeyue Tian; Shangda Wu; Tianhao Shen; Ge Zhang 009; Yuhang Wu; Cong Liu; Ziya Zhou; Liumeng Xue; Ziyang Ma 001; et al. (ACL (Findings), 2024)

Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View. - Jintian Zhang; Xin Xu 010; Ningyu Zhang 001; Ruibo Liu; Bryan Hooi; Shumin Deng (ACL (1), 2024)

Research on wind turbine variable pitch control based on wind speed estimation. - Xiaokun Li; Haoran Wang; Xuxin Yue; Ruibo Liu; Zhan Luo; Zhaobing Cai; Xiangtian Deng; Ruiqi Cai (FNC/MobiSPC/SEIT, 2024)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghao Xiao; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; et al. (ICLR, 2024)

Training Socially Aligned Language Models on Simulated Social Interactions. - Ruibo Liu; Ruixin Yang; Chenyan Jia; Ge Zhang; Diyi Yang; Soroush Vosoughi (ICLR, 2024)

Reconfigurable Robot Identification from Motion Data. - Yuhang Hu; Yunzhe Wang; Ruibo Liu; Zhou Shen; Hod Lipson (IROS, 2024)

Convincing Audio Generation Based on LLM and Speech Tokenization. - Ruibo Liu; Shuai-Xin Wang; Zhuang-Zhuang Liu; Jiang-Jiang Zhao; Yuling Ren; Yu Liu (ISCSLP, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xeron Du; Chenhao Zhang 005; Noah Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (NeurIPS, 2024)

Long-form factuality in large language models. - Jerry Wei; Chengrun Yang; Xinying Song; Yifeng Lu; Nathan Hu; Jie Huang 009; Dustin Tran; Daiyi Peng; Ruibo Liu; Da Huang; Cosmo Du; Quoc V. Le (NeurIPS, 2024)

Higher Layers Need More LoRA Experts. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Baochen Sun; Ruibo Liu; Daiyi Peng; Yawen Zhang; Xiaoyuan Guo; Jie Yang; V. S. Subrahmanian (CoRR, 2024)

ChatMusician: Understanding and Generating Music Intrinsically with LLM. - Ruibin Yuan; Hanfeng Lin; Yi Wang 033; Zeyue Tian; Shangda Wu; Tianhao Shen; Ge Zhang 009; Yuhang Wu; Cong Liu; Ziya Zhou; Ziyang Ma 001; Liumeng Xue; et al. (CoRR, 2024)

Design2Code: How Far Are We From Automating Front-End Engineering? - Chenglei Si; Yanzhe Zhang; Zhengyuan Yang; Ruibo Liu; Diyi Yang (CoRR, 2024)

Long-form factuality in large language models. - Jerry Wei; Chengrun Yang; Xinying Song; Yifeng Lu; Nathan Hu; Dustin Tran; Daiyi Peng; Ruibo Liu; Da Huang; Cosmo Du; Quoc V. Le (CoRR, 2024)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models. - Jiawei Guo; Ziming Li; Xueling Liu; Kaijing Ma; Tianyu Zheng; Zhouliang Yu; Ding Pan; Yizhi Li; Ruibo Liu; Yue Wang; Shuyue Guo; Xingwei Qu; et al. (CoRR, 2024)

Best Practices and Lessons Learned on Synthetic Data for Language Models. - Ruibo Liu; Jerry Wei; Fangyu Liu; Chenglei Si; Yanzhe Zhang; Jinmeng Rao; Steven Zheng; Daiyi Peng; Diyi Yang; Denny Zhou; Andrew M. Dai (CoRR, 2024)

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. - Ge Zhang 009; Scott Qu; Jiaheng Liu; Chenchen Zhang; Chenghua Lin; Chou Leuang Yu; Danny Pan; Esther Cheng; Jie Liu 047; Qunshu Lin; Raven Yuan; Tuney Zheng; et al. (CoRR, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xinrun Du; Chenhao Zhang 005; Zekun Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (CoRR, 2024)

MMRA: A Benchmark for Multi-granularity Multi-image Relational Association. - Siwei Wu; Kang Zhu; Yu Bai; Yiming Liang; Yizhi Li; Haoning Wu; Jiaheng Liu; Ruibo Liu; Xingwei Qu; Xuxin Cheng; Ge Zhang 009; Wenhao Huang 001; et al. (CoRR, 2024)

HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. - Ping Gong 009; Jiawei Yi; Shengnan Wang; Juncheng Zhang; Zewen Jin; Ouxiang Zhou; Ruibo Liu; Guanbin Xu; Youhui Bai; Bowen Ye; Kun Yuan; Tong Yang 003; et al. (ACL (Findings), 2025)

LIME: Less Is More for MLLM Evaluation. - King Zhu; Qianbo Zang; Shian Jia; Siwei Wu; Feiteng Fang; Yizhi Li; Shuyue Guo; Tianyu Zheng; Jiawei Guo; Bo Li; Haoning Wu; Xingwei Qu; et al. (ACL (Findings), 2025)

MoLA: MoE LoRA with Layer-wise Expert Allocation. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Ruibo Liu; Baochen Sun; Yawen Zhang; Daiyi Peng; Xiaoyuan Guo; V. S. Subrahmanian (NAACL (Findings), 2025)

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering. - Chenglei Si; Yanzhe Zhang; Ryan Li; Zhengyuan Yang; Ruibo Liu; Diyi Yang (NAACL (Long Papers), 2025)

Scaling Laws for Differentially Private Language Models. - Ryan McKenna; Yangsibo Huang; Amer Sinha; Borja Balle; Zachary Charles; Christopher A. Choquette-Choo; Badih Ghazi; Georgios Kaissis; Ravi Kumar 001; Ruibo Liu; Da Yu; Chiyuan Zhang (CoRR, 2025)